Comparative Analysis of Text Mining Techniques and Tools

Apostoloska Kondoska, Marija and Ristevski, Blagoj and Rendevski, Nikola and Savoska, Snezana (2025) Comparative Analysis of Text Mining Techniques and Tools. In: XV International Conference on Applied Internet and Information Technologies (AIIT 2025), 7 November 2025, Bitola, Macedonia.

Text AIIT2025 Proceedings_Marija.pdf - Published Version Download (1MB)

Abstract

Rapid progress in digitalisation has generated a vast volume of data, particularly unstructured and semi-structured data. Text mining is a process of extracting useful information from text documents and is a new and challenging research field that aims to address the information overload problem by leveraging techniques from machine learning (ML), natural language processing (NLP), and knowledge management. Text mining tools facilitate the analysis of unstructured textual data by extracting patterns and generating insights through techniques such as classification. In this paper, we have discussed the text mining techniques and compared two platforms: RapidMiner and KNIME.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Blagoj Ristevski
Date Deposited:	08 Jan 2026 14:27
Last Modified:	08 Jan 2026 14:27
URI:	https://eprints.uklo.edu.mk/id/eprint/11309

Actions (login required)

View Item